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A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks
BACKGROUND: In recent years, the use and importance of predicted protein residue-residue contacts has grown considerably with demonstrated applications such as drug design, protein tertiary structure prediction and model quality assessment. Nevertheless, reported accuracies in the range of 25-35% st...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850995/ https://www.ncbi.nlm.nih.gov/pubmed/24267585 http://dx.doi.org/10.1186/1471-2105-14-S14-S12 |